AI Machine Learning Engineer II (Full Time) United States

Cisco Systems, Inc.; United States; On-site; USD 70,000 - 110,000; Full time

Job summary

An innovative firm is seeking individuals passionate about AI and machine learning to join their engineering team. In this exciting role, you will develop applications based on cutting-edge generative models while collaborating with various teams to ensure product excellence. Ideal candidates are recent graduates or those with up to three years of experience, equipped with skills in Python, machine learning frameworks, and natural language processing. This is a fantastic opportunity to contribute to transformative AI solutions while working in a supportive environment that values learning and collaboration.

Qualifications

• Recent graduates or those in their final year of a relevant degree are encouraged to apply.
• Proficiency in programming languages and familiarity with machine learning frameworks is essential.

Responsibilities

• Develop and implement applications based on generative large language models.
• Optimize AI applications for performance, scalability, and reliability.

Skills

Python

Go

Natural Language Processing (NLP)

Machine Learning Frameworks (TensorFlow, PyTorch)

Data Science Toolkits (Pandas, NumPy, SciPy, Scikit-learn)

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

Google AI Platform

AWS

Hadoop

Spark

Kafka

Job description

Applications are accepted until further notice.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Who You'll Work With

You will join a dynamic engineering team, building AI/ML solutions and collaborating closely with various teams, including platform, security, release engineering, and support, to deliver the product. You will also contribute to ensuring the product's smooth operation.

What You'll Do

In this role, you will be responsible for developing and implementing applications based on generative large language models, such as GPT-4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your duties will include optimizing these generative AI applications for performance, scalability, and reliability. You will engage in red teaming activities to validate the robustness and precision of the applications. Staying up-to-date with the latest advancements in AI and machine learning is expected, as is suggesting how new technologies might be implemented. Additionally, you will design and develop APIs to facilitate interactions with AI models. Addressing and resolving any issues that arise from AI applications will be an integral part of your responsibilities.

Who You Are

You are a lifelong learner, eager to adopt tools and technologies that address the challenges you encounter. You value building solid relationships with your colleagues and take pride in coaching and mentoring engineers.

Minimum Qualifications:

• Including but not limited to a graduate/upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-year University.
• Open to 0-3 years of relevant experience or recent graduate or those in the final year of a Master's in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related program, or holders of equivalent academic certifications.
• Proficiency in programming languages such as Python or Go.
• Knowledge of machine learning frameworks (TensorFlow, PyTorch) and model training and optimization platforms.
• Familiarity with data science toolkits like Pandas, NumPy, SciPy, Scikit-learn.
• Proficiency in Natural Language Processing (NLP).

Preferred Qualifications:

• Experience with cloud platforms such as Google AI Platform or AWS.
• In-depth knowledge of machine learning algorithms, including generative models.
• Understanding of big data technologies (e.g., Hadoop, Spark, Kafka).
• Competence in Go/Java, particularly for backend development and integration with data science applications.
• Coursework, research experience, academic publications, or industry experience in machine learning, generative AI, and analytics of time series systems.